ArticleNeurobiology of aging2022
Voice biomarkers as indicators of cognitive changes in middle and later adulthood.
Article in Neurobiology of aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Cognitive heterogeneity in mild cognitive impairment due to Alzheimer's disease pathology.Neural regeneration research · 2026Article
- Speech as a dynamic biomarker of physical aging: a longitudinal study.GeroScience · 2026Article
- Domain generalization for voice-based cognitive impairment detection.BMC medical informatics and decision making · 2025Article
- Precision neurocognition: An emerging diagnostic paradigm leveraging digital cognitive assessment technology.Journal of Alzheimer's disease : JAD · 2025Review
- Listening to the Mind: Integrating Vocal Biomarkers into Digital Health.Brain sciences · 2025Article
- The Human Voice as a Digital Health Solution Leveraging Artificial Intelligence.Sensors (Basel, Switzerland) · 2025Review
- Alzheimer disease seen through the lens of sex and gender.Nature reviews. Neurology · 2025Review
- Obfuscation via pitch-shifting for balancing privacy and diagnostic utility in voice-based cognitive assessment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Audio and linguistic prediction of objective and subjective cognition in older adults: what is the role of different prompts?Frontiers in psychiatry · 2025Article
- Identifying and Estimating Frailty Phenotypes by Vocal Biomarkers: Cross-Sectional Study.Journal of medical Internet research · 2024Article
- Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024Review
- Using voice biomarkers for frailty classification.GeroScience · 2024Article
- Digital assessment of cognition in neurodegenerative disease: a data driven approach leveraging artificial intelligence.Frontiers in psychology · 2024Article
- Harnessing the Power of Voice: A Deep Neural Network Model for Alzheimer's Disease Detection.Dementia and neurocognitive disorders · 2024Article
- Voice biomarkers in middle and later adulthood as predictors of cognitive changes.Frontiers in psychology · 2024Article
- Voice analysis results in individuals with Alzheimer's disease: How do age and cognitive status affect voice parameters?Brain and behavior · 2023Article
- Fusion of Low-Level Descriptors of Digital Voice Recordings for Dementia Assessment.Journal of Alzheimer's disease : JAD · 2023Article
- Early ultrasonic vocalization deficits and related thyroarytenoid muscle pathology in the transgenic TgF344-AD rat model of Alzheimer's disease.Frontiers in behavioral neuroscience · 2023Article
- Broadened assessments, health education and cognitive aids in the remote memory clinic.Frontiers in public health · 2022Article
Corrections and comments
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2 authors.
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Abstract
Voice prosody measures have been linked with Alzheimer's disease (AD), but it is unclear whether they are associated with normal cognitive aging. We assessed relationships between voice measures and 10-year cognitive changes in the MIDUS national sample of middle-aged and older adults ages 42-92, with a mean age of 64.09 (standard deviation = 11.23) at the second wave. Seven cognitive tests were assessed in 2003-2004 (Wave 2) and 2013-2014 (Wave 3). Voice measures were collected at Wave 3 (N = 2585) from audio recordings of the cognitive interviews. Analyses controlled for age, education, depressive symptoms, and health. As predicted, higher jitter was associated with greater declines in episodic memory, verbal fluency, and attention switching. Lower pulse was related to greater decline in episodic memory, and fewer voice breaks were related to greater declines in episodic memory and verbal fluency, although the direction of these effects was contrary to hypotheses. Findings suggest that voice biomarkers may offer a promising approach for early detection of risk factors for cognitive impairment or AD.
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